NSF-CAREER: The Listening Machine IIS-0238301 2003–2008 Final Report
نویسنده
چکیده
This six-year project started with the idea of applying sound recognition and separation techniques that had originated in speech recognition to a broader domain of environmental sound mixtures. As it proceeded, the work diversified into several distinct areas, reflecting the different directions of the graduate students primarily supported by the project: Manuel Reyes and Keansub Lee worked on environmental sound separation and classification; Graham Poliner and Michael Mandel worked on music audio transcription and classification, and Xanadu Halkias applied many of the same ideas and techniques to the analysis of underwater recordings of dolphin sounds.
منابع مشابه
NSF - CAREER : The Listening Machine IIS - 0238301 Annual Report 2007 Daniel
We have continued our research into associating words with the soundtracks of recordings of natural environments. We have been working with a database of 1400 “consumer videos” (collected by our collaborators at Kodak) as well as with similar amateur videos downloaded from YouTube. Based on a provisional lexicon of 25 terms that consumers might use as search terms (“music”, “birthday”, “beach”)...
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Continuing our broadened theme of machine listening in many contexts, in 2005 we conducted research into automatic extraction of information in complex sound mixtures, in 'personal audio' environmental recordings, from music audio, and for the sounds of marine mammals recorded underwater. 2005 saw the graduation of Manuel Reyes, the Ph.D. student supported by this project from the start. Manuel...
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تاریخ انتشار 2009